Building a robot that can reliably perceive, plan, and act in the real world is hard—especially when conditions change minute ...

In engineering applications, cloud computing can provide the on-demand compute power needed to run increasingly more complex simulations on a more frequent basis throughout the design cycle.

The challenge of running simulation and high-performance workloads efficiently is a constant issue, requiring input from stakeholders including infrastructure teams, cybersecurity professionals, and, ...

“The CN5000 accelerates simulation workloads at scale to shorten time-to-insight,” said Wim Slagter, Senior Director, Partner Programs at Synopsys. “This means engineers can run twice as many design ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. At its annual CadenceLIVE event in Silicon Valley last week, EDA ...

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

AWS to offer first cloud AI supercomputer with NVIDIA Grace Hopper Superchip and AWS UltraCluster scalability NVIDIA DGX Cloud—first to feature NVIDIA GH200 NVL32—coming to AWS Companies collaborate ...

(TSE: 6501) today unveiled its 800-volt direct current (800 VDC) power and control architecture as fully integrated into the ...

As simulation software becomes more widely used, users need technology that can keep up with demand. Together, AMD, Supermicro and ANSYS offer a powerful platform with the high core count and memory ...

Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation,” was published by researchers at Intel, Nvidia and ...

At GTC 2026, Nvidia launched the Vera CPU, a processor built specifically to meet the growing demands of agentic AI. Vera is ...